International Journal of Networked and Distributed Computing

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Volume 6, Issue 4, September 2018, Pages 216 - 223

Tracing a Weld Line using Artificial Neural Networks

Authors
Srinath Hanumantha Rao1, *, V. Kalaichelvi2, R. Karthikeyan3
1Department of Electrical and Electronics Engineering, Nanyang Technological University, Nanyang Avenue, 637598, Singapore
2Department of Electrical and Electronics Engineering, BITS Pilani University - Dubai, Dubai, 34505, United Arab Emirates
3Department of Mechanical Engineering, BITS Pilani University - Dubai, Dubai, 34505, United Arab Emirates
*Corresponding author. Email: srinath002@e.ntu.edu.sg
Corresponding Author
Srinath Hanumantha Rao
Received 6 June 2018, Accepted 24 September 2018, Available Online 28 September 2018.
DOI
10.2991/ijndc.2018.6.4.4How to use a DOI?
Keywords
Robot; ANN; welding; image processing
Abstract

Robotic manipulators are becoming increasingly popular nowadays with applications in almost every industry and production line. It is difficult but essential to create a common algorithm for the different types of manipulators present in today’s market so that automation can be achieved at a faster rate. This paper aims to present a real-time implementation of a method to control a Tal Brabo! Robotic manipulator to move along a given weld line in order to be utilized in factories for increasing production capacity and decreasing production time. The controller used here is provided by Trio, whose ActiveX component is interfaced to MATLAB. Images were captured to identify weld lines in every possible alignment to find points of interest and the neural network was trained in order to follow a given weld line once the work-piece was placed on the work-table.

Copyright
© 2018 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
6 - 4
Pages
216 - 223
Publication Date
2018/09/28
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2018.6.4.4How to use a DOI?
Copyright
© 2018 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Srinath Hanumantha Rao
AU  - V. Kalaichelvi
AU  - R. Karthikeyan
PY  - 2018
DA  - 2018/09/28
TI  - Tracing a Weld Line using Artificial Neural Networks
JO  - International Journal of Networked and Distributed Computing
SP  - 216
EP  - 223
VL  - 6
IS  - 4
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2018.6.4.4
DO  - 10.2991/ijndc.2018.6.4.4
ID  - Rao2018
ER  -